AI, Autonomous Transformation, and Avoiding "Pilot Purgatory" with Microsoft's Brian Evergreen

<p>We’re all familiar with Microsoft. That’s a given. But we’re certainly not all familiar with the autonomous AI work they are doing.&nbsp;</p><p>That’s why we called on an expert to give us the lowdown on what autonomous AI means, highlight its risks and opportunities and give us his verdict.&nbsp;&nbsp;</p><p>On episode 118, Brian Evergreen, Global Head of Autonomous AI Co-Innovation at Microsoft, joins Manufacturing Happy Hour. If the episode title (or Brian’s job title) doesn’t make a ton of sense to you just now, you’re in the right place because Brian is keen to define the term in detail.&nbsp;</p><p>Brian also provides advice for getting new technology initiatives off the ground, from AI to machine learning and more. Plus, there are a ton of pragmatic tips and tricks for leading through tech transformations.&nbsp;</p><p>In this episode, find out:&nbsp;</p><ul><li>Brian’s route into AI (via chess?)&nbsp;</li><li>Baseline definitions of AI, autonomous AI and autonomous transformation&nbsp;</li><li>Why to take a human-centric approach to AI&nbsp;</li><li>The risks and opportunities surrounding AI&nbsp;</li><li>How to ensure AI projects succeed, scale and don’t get stuck&nbsp;</li><li>The lowdown on Brian’s book and writing process&nbsp;</li><li>How to avoid ‘pilot purgatory’&nbsp;</li><li>Where Brian would like a beer with Chris&nbsp;</li></ul><br/><p><a href="http://manufacturinghappyhour.com/iTunes" rel="noopener noreferrer" target="_blank">Enjoying the show? Please leave us a review here.</a> Even one sentence helps. It’s feedback from Manufacturing All-Stars like you that keeps us going!&nbsp;</p><p>Tweetable Quotes:&nbsp;</p><ul><li><em>“The right time to get started with autonomous AI really depends on your outlook or perspective as a business leader.”</em>&nbsp;</li><li><em>“If designed correctly, there’s no great physical risk associated with autonomous AI.”</em>&nbsp;</li><li><em>“87% of machine learning models never make it into production. I'm curious how that will change as these autonomous AI te